Metaheuristic approach for optimizing neural networks parameters in battery state of charge estimation
To accurately estimate the battery state of charge (SOC), it is vital to improve the performance of a battery-powered system. This paper employs the recent proposed Evolutionary Mating Algorithm (EMA) for optimizing the weights and biases of Feed-Forward Neural Network (FNN) in estimating the state...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/38769/ http://umpir.ump.edu.my/id/eprint/38769/1/Metaheuristic%20approach%20for%20optimizing%20neural%20networks%20parameters.pdf http://umpir.ump.edu.my/id/eprint/38769/2/Metaheuristic%20approach%20for%20optimizing%20neural%20networks%20parameters%20in%20battery%20state%20of%20charge%20estimation_ABS.pdf |
Internet
http://umpir.ump.edu.my/id/eprint/38769/http://umpir.ump.edu.my/id/eprint/38769/1/Metaheuristic%20approach%20for%20optimizing%20neural%20networks%20parameters.pdf
http://umpir.ump.edu.my/id/eprint/38769/2/Metaheuristic%20approach%20for%20optimizing%20neural%20networks%20parameters%20in%20battery%20state%20of%20charge%20estimation_ABS.pdf